Category: Philosophy of Science

One of the things that I worked on in 2018 was a dissertation about the roles of reflective reasoning in philosophy, morality, and bias. Pending a follow-up study for one chapter, every chapter is written and has enjoyed at least one round of comments—and some of the chapters are under review. As the chapters find homes in journals, I will be sure to post preprints and links to the online publication on my blog and in my social media feeds. So, ya know, follow those if you want more updates. In this post, I’ll give you drafts of the abstracts for each chapter, so that you can get a birds-eye view of the dissertation project.†

Philosophy takes many forms. So do its podcasts. Here are some of the most popular philosophy podcasts that I have found. I listen to almost all of them, so feel free to contact me if you have questions that are not answered in each podcast’s description below.

Below are the syllabus and materials for my Introduction to Philosophy course. You are welcome to use any of the material as a student or as an instructor. The usual creative commons license applies to my portion of this—i.e., only the stuff to which I would have a copyright. (If you are my student, remember that you can be quizzed on the contents of the syllabus.)

What if traveling abroad were somehow bad for you? Well, a series of studies seem to find that “[traveling abroad] can lead to [lying and cheating] by increasing moral relativism” (Lu et al 2017, 1, 3). This finding has just the right combination of intuitive plausibility and surprise for us to want to share it uncritically. So, instead, let’s take a look at the methods, measures, and philosophical nuances of the topic. As usual, a bit of reflection makes the finding a bit less exciting and it reveals a need for follow-up research.

My Facebook page says that I am a scientist. But I work with both philosophers and scientists. And I do both empirical as well as philosophical research. So am I a philosopher or a scientist? That question assumes that there is a clear boundary between philosophy and science. And that assumption is — at best — controversial. Here are three reasons to think that philosophy is continuous with science. Continue reading Science vs. Philosophy …or maybe they are continuous

Abstract

Type 1 and type 2 cognition are standard fare in psychology. Now Shea and Frith (2016) introduce type 0 cognition. This new category of cognition manifests from existing distinctions — (a) conscious vs. unconscious and (b) deliberate vs. automatic. Why do existing distinctions result in a new category? Because Shea and Frith (henceforth SF) apply each distinction to a different concept: one to representation and the other to processing. The result is a 2-by-2 taxonomy like the one below. This taxonomy classifies automatic processing over unconscious representations as type 0 cognition. And, deviating from convention, this taxonomy classified automatic processing over conscious representation(s) as type 1 cognition.

PROCESSING

Automatic

Deliberate

REPRESENTATION

Unconscious

Type 0

?

Conscious

Type 1

Type 2

According to SF, we deploy each type of cognition more or less successfully depending on our familiarity with the domain. When we’re familiar with the domain, we may not need to integrate information from other domains (via conscious representation) and/or deliberately attend to each step of our reasoning. So in a familiar domain, type 0 cognition might suffice.

SF briefly mention how this relates to the cognitive reflection test (CRT) (Frederick 2005). There is a puzzle about how to interpret CRT responses that do not fit a common dual-process interpretation of the CRT. In what follows, I will show how SF’s notion of domain-familiarity can make sense of these otherwise puzzling CRT responses.

If our judgments are dependent on the brain, then maybe we can understand our judgments by studying our brains. Further, maybe we can understand our philosophical judgments by studying our brains. What do you think? Can neuroscience help us understand philosophy? Here are some studies which suggest that it can.

1. Two Opposing Neural Networks/Judgments

Consider two different networks in the brain: the Default Mode Network (DMN) and the Task Positive Network (TPN). These networks are mutually inhibitory. When one network’s activity increases, the other network’s activity decreases. It’s a bit like a seesaw (Jack et al 2013).

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